A Practical Estimation Method for Analyzing Adverse Drug Reactions Using Data Mining

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A Practical Estimation Method for Analyzing Adverse Drug Reactions Using Data Mining

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im September 2012 veröffentlichter wissenschaftlicher Artikel

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scientific article published on 01 March 2013

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wetenschappelijk artikel

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наукова стаття, опублікована у вересні 2012

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A Practical Estimation Method for Analyzing Adverse Drug Reactions Using Data Mining

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A Practical Estimation Method for Analyzing Adverse Drug Reactions Using Data Mining

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A Practical Estimation Method for Analyzing Adverse Drug Reactions Using Data Mining

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A Practical Estimation Method for Analyzing Adverse Drug Reactions Using Data Mining

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A Practical Estimation Method for Analyzing Adverse Drug Reactions Using Data Mining

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A Practical Estimation Method for Analyzing Adverse Drug Reactions Using Data Mining

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P1476

A Practical Estimation Method for Analyzing Adverse Drug Reactions Using Data Mining

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P2093

Etuko Uejima

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Hiroyuki Yamasaki

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Jun-Ichi Takahara

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Kousuke Okamoto

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Norihito Kawashita

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Ran Inoue

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Shigeki Inui

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Takanori Ohgaru

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Tatsuya Takagi

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Teruo Yasunaga

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P2860

Harvesting candidate genes responsible for serious adverse drug reactions from a chemical-protein interactome

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Correlations between clinical patterns and causes of erythema multiforme majus, Stevens-Johnson syndrome, and toxic epidermal necrolysis: results of an international prospective study.

Carbamazepine and phenytoin induced Stevens-Johnson syndrome is associated with HLA-B*1502 allele in Thai population.

Design and evaluation of a novel class-directed 2D fingerprint to search for structurally diverse active compounds.

Stevens-Johnson syndrome and toxic epidermal necrolysis: assessment of medication risks with emphasis on recently marketed drugs. The EuroSCAR-study.

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235-241

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P31

scholarly article

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10.1177/0092861512460759

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P433

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P478

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Yu-Shi Tian

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2013-03-01T00:00:00Z

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P698

30227520

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